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Novus Examples
json199 B

Inventory Warehouse Locations (JSON)

Warehouse and bin metadata for WMS routing tests.

JSON parsing
Preview — first 15 linesjson
{
  "locations": [
    {
      "id": "WH-EAST",
      "city": "Springfield",
      "bins": 48
    },
    {
      "id": "WH-WEST",
      "city": "Riverton",
      "bins": 32
    }
  ]
}

Specifications

Domain
inventory
Locations
2

What is a .json file?

JSON (JavaScript Object Notation) is a lightweight, text-based data-interchange format representing objects, arrays, strings, numbers, booleans, and null. It is language-independent, human-readable, and the dominant format for web APIs and configuration. It requires a single well-formed root value.

How to use this file

Use an example JSON file to test parsers and serializers, schema validation, Unicode and number-precision handling, and API request or response processing.

How to use this file for testing

“Inventory Warehouse Locations (JSON)” is a deterministic Novus Examples fixture for JSON parsing. Flat, deeply nested, JSON Lines, and intentionally invalid JSON for testing parsers and error handling.

Documented properties for this file: JSON · 199 bytes. Compare results against paired or grouped companions on this page when present (clean↔damaged, searchable↔scanned, or format twins) so scores stay reproducible across runs.

Download the file once, keep the path stable in CI or local scripts, and treat the spec table as the contract: dimensions, seeds, field lists, and roles are intentional. Corrupt or invalid samples are labelled as such — expect parsers to fail loudly rather than silently accept them.

Data fixtures document their exact quirks — delimiters, encodings, null handling, schema, and row counts — in the spec table. Point your parser or importer at the file and assert it handles the documented edge cases; clean and deliberately-messy siblings make before/after diffs straightforward.

Feed the file to your parser and assert it handles the documented quirks — quoted delimiters, embedded newlines, ragged rows, or invalid syntax; the valid↔invalid distinction is labelled in the title.

Code examples

import json

with open("warehouse-locations.json") as f:
    data = json.load(f)
print(type(data), len(data))

Related files

Generated by generation/data_wave_f.py. Free for any use, no attribution required — license.